Machine Learning Enhances Biohybrid Robots

This is a news story, published by TechXplore, that relates primarily to ML-DO news.

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biohybrid robots

TechXplore

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Science

Machine learning transforms mini biohybrid ray design, doubling swimming efficiency

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A new study shows an application of machine-learning directed optimization ( ML-DO ) that efficiently searches for high-performance design configurations in the context of biohybrid robots.

Applying a machine learning approach, the researchers created mini biohybridge rays made of cardiomyocytes (heart muscle cells) and rubber with a wingspan of about 10 mm .

Researchers believe the ML-DO-informed approach better mimics the selective pressures of evolution.

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